Context-Based Virtual Vision for Location-Specific AR Overlays
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Solution Overview
Problem
Digital devices used for navigation lack interactivity and customization, resulting in a poor user experience when displaying locations of physical places.
Innovation Solution
A context-based augmented reality system that dynamically overlays custom display elements on a live video feed using a lens object, which is selected based on the user's context, including geographic location, time of day, recognized items, and environmental data, to enhance interaction and personalization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional navigation displays are used, then the device structure remains simple, but the user experience lacks interactivity and customization
Solution Approach 1:
The patent combines multiple functions (navigation, augmented reality display, context analysis, and interactive overlay generation) into a single integrated system. The virtual vision system merges the live video feed from the camera with computer-generated navigation overlays, creating a unified augmented reality interface that adapts to user context without requiring separate devices or complex manual configuration.
Solution Approach 2:
The navigation system is designed to perform multiple functions simultaneously: it provides directional guidance, displays location information, analyzes user context (environment, time, location), and dynamically adjusts the display format. This multi-functional approach allows a single system to replace traditional navigation displays while adding customization and interactivity capabilities.
2Ease of operation
If context-based augmented reality overlays are implemented, then interactivity and personalization are improved, but processing requirements and system complexity increase
Solution Approach 1:
The system performs preliminary context analysis by continuously monitoring environmental data, user location, and situational parameters in advance of navigation events. This allows the system to pre-process and categorize context information, making real-time adaptation more efficient. The virtual vision system prepares multiple overlay configurations beforehand and selects the appropriate one based on pre-analyzed context, reducing computational burden during critical navigation moments.
Solution Approach 2:
The navigation system automatically analyzes user context and selects appropriate display configurations without requiring manual user input or complex interaction. The system serves itself by autonomously adjusting navigation overlays based on environmental conditions, user behavior patterns, and location data, thereby simplifying the user interface while maintaining high adaptability.
3Loss of information
If dynamic lens selection based on multiple context parameters is used, then content relevance is improved, but data processing time increases
Solution Approach 1:
The context analysis system divides the overall context into multiple independent parameters (location, time, environmental conditions, user behavior) that can be processed separately and in parallel. Each parameter is evaluated independently against predefined criteria, and the results are combined to determine the most relevant content. This segmentation allows efficient processing of complex context without requiring exhaustive analysis of all factors simultaneously.
Solution Approach 2:
The system dynamically adjusts navigation content based on changes in context parameters by establishing threshold values and transition conditions. When a parameter crosses a predefined threshold or changes state, the system automatically transitions between different content configurations. This parameter-based approach enables rapid response to context changes without requiring complete re-evaluation of all navigation data.
Data Source
AI summary
A context based augmented reality system can be used to display augmented reality elements over a live video feed on a client device. The augmented reality elements can be selected based on a number of context inputs generated by the client device. The context inputs can include location data of the client device and location data of nearby physical places that have preconfigured augmented elements. The preconfigured augmented elements can be preconfigured to exhibit a design scheme of the corresponding physical place.